Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.

Aiming at the complex spatio-temporal correlation in the vehicle motion process, this paper proposes a spatio-temporal graph convolutional network (GCN-LSTM). This network combines graph convolutional ...

On this basis, we propose a multi-branch multi-scale channel fusion graph convolutional network (MSCF-LSTM-GCN). This network combines the advantages of long short-term memory networks (LSTM) with ...

The research adopts a semi-structured approach, innovatively constructing an adaptive schema generation mechanism based on reinforcement learning, which models the knowledge graph construction process ...

LSTM Graph Laplacian Regularized Matrix Factorization (LSTM-GL-ReMF) On the basis of TRMF, we propose a novel LSTM and Graph Laplacian regularized matrix factorization (LSTM-GL-ReMF). In LSTM-GL-ReMF, ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

over 6000 assets (including all Forex pairs, Cryptocurrencies, Commodities, Indices and US stocks) unique interbank rates extensive historic data the option to save your configuration Here below ...

Full support for mini-batch computation Full vectorized implementation. Specially, removing all loops in "score sentence" algorithm, which dramatically improve training performance CUDA supported Very ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...

This resource revises linear functions, graphs and equations and within linear functions, graphs and equations there are 3 key concepts: To determine if this resource will benefit you, start by ...